Version 1
: Received: 27 May 2020 / Approved: 28 May 2020 / Online: 28 May 2020 (07:33:32 CEST)
How to cite:
Gautam, N.; Chai, S.S.; Jose, J. Recognition of Brahmi Words by Using Deep Convolutional Neural Network. Preprints2020, 2020050455. https://doi.org/10.20944/preprints202005.0455.v1
Gautam, N.; Chai, S.S.; Jose, J. Recognition of Brahmi Words by Using Deep Convolutional Neural Network. Preprints 2020, 2020050455. https://doi.org/10.20944/preprints202005.0455.v1
Gautam, N.; Chai, S.S.; Jose, J. Recognition of Brahmi Words by Using Deep Convolutional Neural Network. Preprints2020, 2020050455. https://doi.org/10.20944/preprints202005.0455.v1
APA Style
Gautam, N., Chai, S.S., & Jose, J. (2020). Recognition of Brahmi Words by Using Deep Convolutional Neural Network. Preprints. https://doi.org/10.20944/preprints202005.0455.v1
Chicago/Turabian Style
Gautam, N., Soo See Chai and Jais Jose. 2020 "Recognition of Brahmi Words by Using Deep Convolutional Neural Network" Preprints. https://doi.org/10.20944/preprints202005.0455.v1
Abstract
Significant progress has made in pattern recognition technology. However, one obstacle that has not yet overcome is the recognition of words in the Brahmi script, specifically the identification of characters, compound characters, and word. This study proposes the use of the deep convolutional neural network with dropout to recognize the Brahmi words. This study also proposed a DCNN for Brahmi word recognition and a series of experiments are performed on standard Brahmi dataset. The practical operation of this method was systematically tested on accessible Brahmi image database, achieving 92.47% recognition rate by CNN with dropout respectively which is among the best while comparing with the ones reported in the literature for the same task.
Keywords
pattern recognition; deep convolutional neural network; Brahmi script; CNN
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
